šŸ’°OpenAI Talks $10B Amazon Deal

PLUS: Google Launches Gemini 3 Flash Model ⚔

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Today’s Highlights:

  • šŸ’° OpenAI Talks $10B Amazon Deal

  • ⚔ Google Launches Gemini 3 Flash Model

  • 🧠 Nvidia Goes Bigger on Open Source AI

  • šŸ¤ Google and Meta Team Up to Break Nvidia’s Grip

  • šŸ’» Google Launches Code-Based Toolkit for AI Agents

  • šŸŽ® Roblox Tests AI Game Builders with Real Benchmarks

  • šŸ” Amazon Shakes Up AGI Leadership and AI Strategy

  • šŸ›‘ Bernie Sanders Calls for National AI Data Center Freeze

Read Time: 4 mintue

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LATEST AI NEWS

OPENAI

Image Source: Alex Wong / Getty Images

Amazon is reportedly in early talks to invest up to $10 billion in OpenAI, a move that would deepen its chip and cloud partnerships with the ChatGPT maker.

The Details:

  • The deal would involve OpenAI using Amazon’s Trainium chips and AWS cloud, building on a prior $38B cloud agreement

  • If finalized, it could value OpenAI at over $500 billion — the highest yet for an AI company

  • Amazon has already invested $8B in Anthropic and is seeking more AI foothold across hardware and software

  • This follows OpenAI’s similar circular deals with CoreWeave, AMD, and Broadcom, where equity and chip usage go hand in hand

  • OpenAI’s shift to a for-profit model now allows new investors like Amazon, despite Microsoft holding a 27% stake

Why it matters:

The AI arms race is increasingly shaped by hardware alliances. Amazon backing OpenAI could reshape the chip landscape and make AWS a bigger player in powering frontier models.

NVIDIA

Image Source: Akio Kon/Bloomberg / Getty Images

Nvidia just acquired SchedMD (creator of Slurm) and launched a new family of open models called Nemotron 3—pushing further into the open-source AI space.

The Details:

  • Nvidia acquired SchedMD, the company behind Slurm, a leading open-source workload manager for HPC and AI; Slurm will remain vendor-neutral and open.

  • Slurm has been key to AI workloads for decades; Nvidia plans to accelerate its adoption across systems.

  • Nvidia also launched Nemotron 3, an ā€œefficientā€ family of open AI models: Nano (lightweight), Super (for multi-agent setups), and Ultra (for complex reasoning).

  • CEO Jensen Huang said Nemotron is meant to give developers the tools to build transparent, scalable agentic systems.

  • This follows Nvidia’s release of Alpamayo-R1 (vision-language model for autonomous vehicles) and expanded Cosmos world model guides for physical AI development.

Why it matters:

Nvidia is positioning itself not just as a hardware leader but as an open-source AI ecosystem driver—especially in agentic and physical AI, where demand for transparency, modularity, and performance is growing fast.

GOOGLE

Image Source: Google

Google just rolled out Gemini 3 Flash—its fastest and most affordable AI model yet, aimed at challenging OpenAI’s GPT‑5.2 dominance with strong benchmarks and wide consumer rollout.

The Details:

  • Gemini 3 Flash is now the default model in the Gemini app and AI search, replacing Gemini 2.5 Flash globally.

  • On benchmarks, it scored 81.2% on MMMU-Pro (top score across all models) and 33.7% on Humanity’s Last Exam, nearly matching GPT‑5.2.

  • Supports multimodal input (video, sketch, audio), visual responses (tables, images), and faster task execution with 30% fewer tokens used.

  • Already in use by JetBrains, Figma, Cursor, and Harvey, available via Vertex AI, Gemini Enterprise, API, and Antigravity dev tool.

  • Pricing: $0.50 per million input tokens and $3.00 per million output tokens, slightly higher than 2.5 Flash, but 3x faster with better compression.

Why it matters:

Gemini 3 Flash is Google’s sharpest move yet in the AI model war, blending speed, cost-efficiency, and real-world usability to challenge GPT dominance. It’s now the go-to workhorse for both consumers and enterprise.

AI TUTORIAL

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  1. Go to babelbeez.com and create your free trial account. 

  2. Choose a role for your voice agent (e.g., Customer Service, Sales, Support). 

  3. Provide your website URL and let the platform auto‑learn and index your content. 

  4. Copy a one‑line embed code and paste it into your website—no technical steps needed. 

  5. Test the agent in different languages and review conversation summaries in the dashboard.  

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MORE AI & TECH NEWS

  • China is building a secret chip lab to recreate advanced photolithography machines using ex-ASML engineers. They’ve built a prototype, but it’s not yet capable of mass-producing AI-grade chips..

  • Google launched a toolkit to build autonomous AI agents using TypeScript instead of just prompts. This ā€œcode-firstā€ approach offers more control, reliability, and testability for developers.

  • Roblox is testing AI tools with a new benchmark called OpenGameEval to measure real-world game-building tasks. It goes beyond simple code generation to evaluate multi-step creation workflows.

  • A hacker exposed a startup using a ā€œphone farmā€ of 1,000+ devices to fake popularity for AI-generated influencers. The phones posted undisclosed ads across TikTok to trick viewers and algorithms.

  • Google and Meta launched TorchTPU to make AI chips more compatible with PyTorch, challenging Nvidia’s CUDA lock-in. This could shift developers and cloud buyers toward TPU-based systems.

  • Sen. Bernie Sanders is calling for a nationwide pause on new AI data centers, citing job risks and democratic lag. He wants lawmakers to reassess AI’s benefits and impact before further expansion.

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